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Performance of Support Vector Machine for Classifying Land Cover in Optical Satellite Images: A Case Study in Delaware River Port Area

  • Ramayanti, Suci;Kim, Bong Chan;Park, Sungjae;Lee, Chang-Wook
    • 대한원격탐사학회지
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    • 제38권6_4호
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    • pp.1911-1923
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    • 2022
  • The availability of high-resolution satellite images provides precise information without direct observation of the research target. Korea Multi-Purpose Satellite (KOMPSAT), also known as the Arirang satellite, has been developed and utilized for earth observation. The machine learning model was continuously proven as a good classifier in classifying remotely sensed images. This study aimed to compare the performance of the support vector machine (SVM) model in classifying the land cover of the Delaware River port area on high and medium-resolution images. Three optical images, which are KOMPSAT-2, KOMPSAT-3A, and Sentinel-2B, were classified into six land cover classes, including water, road, vegetation, building, vacant, and shadow. The KOMPSAT images are provided by Korea Aerospace Research Institute (KARI), and the Sentinel-2B image was provided by the European Space Agency (ESA). The training samples were manually digitized for each land cover class and considered the reference image. The predicted images were compared to the actual data to obtain the accuracy assessment using a confusion matrix analysis. In addition, the time-consuming training and classifying were recorded to evaluate the model performance. The results showed that the KOMPSAT-3A image has the highest overall accuracy and followed by KOMPSAT-2 and Sentinel-2B results. On the contrary, the model took a long time to classify the higher-resolution image compared to the lower resolution. For that reason, we can conclude that the SVM model performed better in the higher resolution image with the consequence of the longer time-consuming training and classifying data. Thus, this finding might provide consideration for related researchers when selecting satellite imagery for effective and accurate image classification.

Watch One, Do One? A Systematic Review and Educational Analysis of YouTube Microsurgery Videos, and a Proposal for a Quality Assurance Checklist

  • Fernandez-Diaz, Oscar F.;Navia, Alfonso;Berner, Juan Enrique;Ahmad, Fateh;Guerra, Claudio;Ragbir, Maniram
    • Archives of Plastic Surgery
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    • 제49권5호
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    • pp.668-675
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    • 2022
  • Background Educational resources on the internet are extensively used to obtainmedical information. YouTube is the most accessed video platform containing information to enhance the learning experience of medical professionals. This study systematically analyzed the educational value of microsurgery-related videos on this platform. Methods A systematic review was conducted on YouTube from April 18 to May 18, 2020, using the following terms: "microsurgery," "microsurgical," "microsurgical anastomosis," "free flap," and "free tissue transfer." The search was limited to the first 100 videos, and two independent reviewers screened for eligible entries and analyzed their educational value using validated scales, including a modified version of the DISCERN score (M-DISCERN), Journal of the American Medical Association (JAMAS) benchmark criteria, and the Global Quality Score (GQS). Evaluation of video popularity was also assessed with the video power index (VPI). Results Of 356 retrieved videos, 75 (21%) were considered eligible. The educational quality of videos was highly variable, and the mean global scores for the M-DISCERN, JAMAS, and GQS for our sample were consistent with medium to low quality. Conclusions A limited number of videos on YouTube for microsurgical education have high-educational quality. The majority scored low on the utilized criteria. Peer-reviewed resources seem to be a more reliable resource. Although the potential of YouTube should not be disregarded, videos should be carefully appraised before being usedas an educational resource.

유튜브 중국어 교육 채널 콘텐츠에서 나타나는 특징과 발전 가능성 (Characteristics and Potential on YouTube's Chinese Language Education Channel Contents)

  • 이지원
    • 한국콘텐츠학회논문지
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    • 제22권4호
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    • pp.479-487
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    • 2022
  • 본 연구는 국내 대표적인 중국어 교육 관련 유튜브 채널들을 중심으로 유튜브 중국어 교육 채널에 속한 동영상 콘텐츠를 내적 구성요소와 외적 구성요소와 나누어 분석하였다. 분석 결과 유튜브 중국어 교육 채널 콘텐츠 들에서는 상호작용, 기타 이용의 편의성, 멀티미디어 자료 활용 등 외적 구성요소와 학습 목표 및 내용, 강의 방식, 강의 분량, 학습 자료, 학습 평가 및 연습, 교육과정의 연계 및 체계성 등 내적 구성요소가 다양한 형태로 나타나고 있었다. 유튜브 중국어 교육 채널 콘텐츠들에서는 전통적인 교실 수업이나 면대면 수업에서 나타나지 않는 웹 기반 교육 자료의 특징들을 보여 주었으며 이를 통하여 기존 교실 수업의 부족함을 채울 수 있는 새로운 교육 매체로써 역할을 할 수 있는 가능성을 보여 주었다. 그럼에도 불구하고 상당수의 유튜브 중국어 교육 채널 콘텐츠들의 내적 구성요소와 외적 구성요소에서는 여전히 개선해야 할 문제점이 나타났으며 이러한 문제점들은 동영상 콘텐츠를 제작하는 교수자 개인의 노력과 관심뿐만 아니라 인적, 물적 자원이 필요할 것으로 보인다.

대순진리회 수도인의 성지순례 참여 동기가 만족도와 재참여 의사에 미치는 영향 - 성지 가치의 조절효과를 중심으로 - (The Impact of Motivation behind a Pilgrimage on the Satisfaction Level of Participants and Desire for Revisitation: Examining Holy Places as Moderator Variables)

  • 유승각
    • 대순사상논총
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    • 제28집
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    • pp.165-206
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    • 2017
  • 대순진리회의 성지순례는 대순사상을 체험하고 대순사상을 고취할 수 있는 매개체로서 의미가 있다. 이에 본 연구의 목적은 대순진리회의 성지순례 참여동기가 성지순례 만족도와 재참여 의사에 미치는 영향을 실증적으로 분석하고, 대순사상 고취와 성지순례 활성화 방안 제시하는 것이다. 분석방법은 성지순례 관련 요인 간 관계에 기초분석과 성지순례가치의 조절효과 분석을 위해 위계적 회귀분석을 실시하였다. 분석결과, 학습적 동기가 성지순례 만족도와 재참여 의사에 중요한 영향을 미치는 요인임을 발견하였다. 또한, 종교적 가치의 조절효과 분석 결과 성지의 종교적 가치가 성지순례 참여 동기와 만족도 간에 중요한 역할을 하고 있음을 확인하였다. 향후 성지순례 활성화를 위한 실천방안으로 성지순례가 대순사상 고취와 신앙성숙을 위한 또 다른 배움과 교류의 장으로 제시될 필요가 있으며, 수도인들이 성지의 가치에 대한 인식 향상을 위한 노력이 필요함을 제시하였다.

어린이·청소년 대상 성교육 도서의 출판과 활용에 관한 탐색적 연구 (An Exploratory Study of the Publication and Use of Sexuality Education Books for Youth)

  • 임여주
    • 한국비블리아학회지
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    • 제34권2호
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    • pp.205-232
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    • 2023
  • 본 연구는 어린이·청소년을 대상으로 하는 성교육 도서의 출판과 활용 현황을 점검하고 앞으로 성교육 도서가 어린이·청소년의 성교육에 효과적으로 활용될 가능성을 가늠해 보는 탐색적 연구이다. 이를 위해 어린이·청소년 독자가 성교육 도서에 접근하게 하는 데 중요한 역할을 하는 출판 편집자, 성교육 전문가, 공공도서관 사서와의 심층 면담을 진행하고, 성교육 도서에 관한 이들의 경험과 시각을 폭넓게 분석하였다. 연구 참여자들에 의하면 성교육 도서는 양육자가 어린이·청소년에게 직접 성교육을 실시하기 어려워할 때 쉽게 찾아 건네는 매체이며 성교육 현장에서 활용되는 교육 자료이기도 하다. 연구 참여자들은 현재 한국에 출판된 성교육 도서 중 다수가 사춘기의 신체 변화를 다루는 '몸 교육'에만 집중하고 있으며, 여전히 성평등하지 않은 관점을 강조하는 등 그 주제와 시각에 한계가 있다고 지적하였다. 이들은 성교육 도서가 키워드 중심의 단순한 정보 전달 매체이기보다, 인간 삶에 대한 포괄적인 시각을 바탕으로 주체적인 성을 배우는 교육의 장이기를 바랐다. 본 연구에서 제시하는 가이드라인은 도서관에서 성교육 도서를 수서할 때 참고할 수 있는 좋은 지침이 될 것이다.

Protective effect of Phyllostachys edulis (Carrière) J. Houz against chronic ethanol-induced cognitive impairment in vivo

  • Jiyeon Kim;Ji Myung Choi;Ji-Hyun Kim;Qi Qi Pang;Jung Min Oh;Ji Hyun Kim;Hyun Young Kim;Eun Ju Cho
    • Nutrition Research and Practice
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    • 제18권4호
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    • pp.464-478
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    • 2024
  • BACKGROUND/OBJECTIVES: Chronic alcohol consumption causes oxidative stress in the body, which may accumulate excessively and cause a decline in memory; problem-solving, learning, and exercise abilities; and permanent damage to brain structure and function. Consequently, chronic alcohol consumption can cause alcohol-related diseases. MATERIALS/METHODS: In this study, the protective effects of Phyllostachys edulis (Carrière) J. Houz (PE) against alcohol-induced neuroinflammation and cognitive impairment were evaluated using a mouse model. Alcohol (16%, 5 g/kg/day for 6 weeks) and PE (100, 250, and 500 mg/kg/day for 21 days) were administered intragastrically to mice. RESULTS: PE showed a protective effect against memory deficits and cognitive dysfunction caused by alcohol consumption, confirmed through behavioral tests such as the T-maze, object recognition, and Morris water maze tests. Additionally, PE attenuated oxidative stress by reducing lipid oxidation, nitric oxide, and reactive oxygen species levels in the mice's brains, livers, and kidneys. Improvement of neurotrophic factors and downregulation of apoptosis-related proteins were confirmed in the brains of mice fed low and medium concentrations of PE. Additionally, expression of antioxidant enzyme-related proteins GPx-1 and SOD-1 was enhanced in the liver of PE-treated mice, related to their inhibitory effect on oxidative stress. CONCLUSION: This suggests that PE has both neuroregenerative and antioxidant effects. Collectively, these behavioral and histological results confirmed that PE could improve alcohol-induced cognitive deficits through brain neurotrophic and apoptosis protection and modulation of oxidative stress.

Comparison of the Association Between Presenteeism and Absenteeism among Replacement Workers and Paid Workers: Cross-sectional Studies and Machine Learning Techniques

  • Heejoo Park;Juho Sim;Juyeon Oh;Jongmin Lee;Chorom Lee;Yangwook Kim;Byungyoon Yun;Jin-ha Yoon
    • Safety and Health at Work
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    • 제15권2호
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    • pp.151-157
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    • 2024
  • Background: Replacement drivers represent a significant portion of platform labor in the Republic of Korea, often facing night shifts and the demands of emotional labor. Research on replacement drivers is limited due to their widespread nature. This study examined the levels of presenteeism and absenteeism among replacement drivers in comparison to those of paid male workers in the Republic of Korea. Methods: This study collected data for replacement drivers and used data from the 6th Korean Working Conditions Survey for paid male workers over the age of 20 years. Propensity score matching was performed to balance the differences between paid workers and replacement drivers. Multivariable logistic regression was used to estimate the adjusted odds ratio (OR) and 95% confidence intervals for presenteeism and absenteeism by replacement drivers. Stratified analysis was conducted for age groups, educational levels, income levels, and working hours. The analysis was adjusted for variables including age, education, income, working hours, working days per week, and working duration. Results: Among the 1,417 participants, the prevalence of presenteeism and absenteeism among replacement drivers was 53.6% (n = 210) and 51.3% (n = 201), respectively. The association of presenteeism and absenteeism (adjusted OR [95% CI] = 8.42 [6.36-11.16] and 20.80 [95% CI = 14.60-29.62], respectively) with replacement drivers being significant, with a prominent association among the young age group, high educational, and medium income levels. Conclusion: The results demonstrated that replacement drivers were more significantly associated with presenteeism and absenteeism than paid workers. Further studies are necessary to establish a strategy to decrease the risk factors among replacement drivers.

데이터마이닝 기법을 활용한 비외감기업의 부실화 유형 분석 (The Pattern Analysis of Financial Distress for Non-audited Firms using Data Mining)

  • 이수현;박정민;이형용
    • 지능정보연구
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    • 제21권4호
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    • pp.111-131
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    • 2015
  • 본 연구에서는 데이터마이닝 기법의 일종인 자기조직화지도(Self-Organizing Map, SOM)를 이용하여 비외감기업의 부실화 유형을 구분하고자 한다. 자기조직화지도는 인공 신경망을 기초로 자율학습을 통해 입력된 값을 유사한 군집끼리 묶어내는 방법으로, 기존의 통계적 군집 분류 방법보다 성능이 뛰어나고, 고차원의 입력데이터를 저차원으로 시각화할 수 있다는 장점 때문에 다양한 분야에서 각광받고 있다. 본 연구에서는 기존 연구의 주요 분석대상이었던 외감기업에 비해 부실화 빈도는 높지만 데이터 수집의 어려움으로 인해 분석대상에서 다소 제외되었던 비외감기업의 부실화 유형에 대해 알아보고, 유형별 구체적인 사례도 소개하고자 한다. 재무자료수집이 가능한 100개의 비외감 부실기업에 대해 분석한 결과, 비외감기업의 부실화 유형은 다섯 가지로 구분되었다. 유형 1은 전체 집단의 약 12%를 차지하며, 수익성, 성장성 등 재무지표가 다른 유형에 비해 열등하였다. 유형 2는 전체 집단의 약 14%로, 유형 1보다는 덜 심각하지만 재무지표가 대체로 열등하였다. 유형 3은 성장성 지표가 열등한 그룹으로 기업간 경쟁이 극심한 가운데 지속적으로 성장하지 못하고 부실화된 경우로 약 30%의 기업이 포함되었다. 유형 4는 성장성은 탁월하나 부채경영 등 과감한 경영으로 인해 유동성 부족이나 현금부족 등의 이유로 부실화된 그룹으로 약 25%의 기업이 포함되었다. 유형 5는 거의 모든 재무지표가 우수한 건전기업으로, 단기적인 경영전략의 실수 또는 중소기업의 특성상 경영자의 개인적 사정으로 부실화 되었을 가능성이 큰 그룹으로 약 18%의 기업이 포함되었다. 본 연구 결과는 부실화 유형을 구분하는데 기존의 통계적 방법이 아닌 자기조직화지도를 이용하였다는 점에서 학문적 의의가 있고, 비외감기업의 재무지표만으로도 1차적인 부실화 징후를 발견할 수 있다는 점에서 실무적 의의가 있다고 할 수 있다.

중소기업 환경에서의 합목적적 정보시스템 활용을 위한 최종사용자 피드백 탐색행위의 중요성 (Importance of End User's Feedback Seeking Behavior for Faithful Appropriation of Information Systems in Small and Medium Enterprises)

  • 신영미;이주량;이호근
    • Asia pacific journal of information systems
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    • 제17권4호
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    • pp.61-95
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    • 2007
  • Small-and-medium sized enterprises(SMEs) represent quite a large proportion of the industry as a whole in terms of the number of enterprises or employees. However researches on information system so far have focused on large companies, probably because SMEs were not so active in introducing information systems as larger enterprises. SMEs are now increasingly bringing in information systems such as ERP(Enterprise Resource Planning Systems) and some of the companies already entered the stage of ongoing use. Accordingly, researches should deal with the use of information systems by SME s operating under different conditions from large companies. This study examined factors and mechanism inducing faithful appropriation of information systems, in particular integrative systems such as ERP, in view of individuals` active feedback-seeking behavior. There are three factors expected to affect end users` feedback-seeking behavior for faithful appropriation of information systems. They are management support, peer IT champ support, and IT staff support. The main focus of the study is on how these factors affect feedback-seeking behavior and whether the feedback-seeking behavior plays the role of mediator for realizing faithful appropriation of information systems by end users. To examine the research model and the hypotheses, this study employed an empirical method based on a field survey. The survey used measurements mostly employed and verified by previous researches, while some of the measurements had gone through minor modifications for the purpose of the study. The survey respondents are individual employees of SMEs that have been using ERP for one year or longer. To prevent common method bias, Task-Technology Fit items used as the control variable were made to be answered by different respondents. In total, 127 pairs of valid questionnaires were collected and used for the analysis. The PLS(Partial Least Squares) approach to structural equation modeling(PLS-Graph v.3.0) was used as our data analysis strategy because of its ability to model both formative and reflective latent constructs under small-and medium-size samples. The analysis shows Reliability, Construct Validity and Discriminant Validity are appropriate. The path analysis results are as follows; first, the more there is peer IT champ support, the more the end user is likely to show feedback-seeking behavior(path-coefficient=0.230, t=2.28, p<0.05). In other words, if colleagues proficient in information system use recognize the importance of their help, pass on what they have found to be an effective way of using the system or correct others' misuse, ordinary end users will be able to seek feedback on the faithfulness of their appropriation of information system without hesitation, because they know the convenience of getting help. Second, management support encourages ordinary end users to seek more feedback(path-coefficient=0.271, t=3.06, p<0.01) by affecting the end users' perceived value of feedback(path-coefficient=0.401, t=6.01, p<0.01). Management support is far more influential than other factors that when the management of an SME well understands the benefit of ERP, promotes its faithful appropriation and pays attention to employees' satisfaction with the system, employees will make deliberate efforts for faithful appropriation of the system. However, the third factor, IT staff support was found not to be conducive to feedback-seeking behavior from end users(path-coefficient=0.174, t=1.83). This is partly attributable to the fundamental reason that there is little support for end users from IT staff in SMEs. Even when IT staff provides support, end users may find it less important than that from coworkers more familiar with the end users' job. Meanwhile, the more end users seek feedback and attempt to find ways of faithful appropriation of information systems, the more likely the users will be able to deploy the system according to the purpose the system was originally meant for(path-coefficient=0.35, t=2.88, p<0.01). Finally, the mediation effect analysis confirmed the mediation effect of feedback-seeking behavior. By confirming the mediation effect of feedback-seeking behavior, this study draws attention to the importance of feedback-seeking behavior that has long been overlooked in research about information system use. This study also explores the factors that promote feedback-seeking behavior which in result could affect end user`s faithful appropriation of information systems. In addition, this study provides insight about which inducements or resources SMEs should offer to promote individual users' feedback-seeking behavior when formal and sufficient support from IT staff or an outside information system provider is hardly expected. As the study results show, under the business environment of SMEs, help from skilled colleagues and the management plays a critical role. Therefore, SMEs should seriously consider how to utilize skilled peer information system users, while the management should pay keen attention to end users and support them to make the most of information systems.

Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease

  • Hye Jeon Hwang;Hyunjong Kim;Joon Beom Seo;Jong Chul Ye;Gyutaek Oh;Sang Min Lee;Ryoungwoo Jang;Jihye Yun;Namkug Kim;Hee Jun Park;Ho Yun Lee;Soon Ho Yoon;Kyung Eun Shin;Jae Wook Lee;Woocheol Kwon;Joo Sung Sun;Seulgi You;Myung Hee Chung;Bo Mi Gil;Jae-Kwang Lim;Youkyung Lee;Su Jin Hong;Yo Won Choi
    • Korean Journal of Radiology
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    • 제24권8호
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    • pp.807-820
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    • 2023
  • Objective: To assess whether computed tomography (CT) conversion across different scan parameters and manufacturers using a routable generative adversarial network (RouteGAN) can improve the accuracy and variability in quantifying interstitial lung disease (ILD) using a deep learning-based automated software. Materials and Methods: This study included patients with ILD who underwent thin-section CT. Unmatched CT images obtained using scanners from four manufacturers (vendors A-D), standard- or low-radiation doses, and sharp or medium kernels were classified into groups 1-7 according to acquisition conditions. CT images in groups 2-7 were converted into the target CT style (Group 1: vendor A, standard dose, and sharp kernel) using a RouteGAN. ILD was quantified on original and converted CT images using a deep learning-based software (Aview, Coreline Soft). The accuracy of quantification was analyzed using the dice similarity coefficient (DSC) and pixel-wise overlap accuracy metrics against manual quantification by a radiologist. Five radiologists evaluated quantification accuracy using a 10-point visual scoring system. Results: Three hundred and fifty CT slices from 150 patients (mean age: 67.6 ± 10.7 years; 56 females) were included. The overlap accuracies for quantifying total abnormalities in groups 2-7 improved after CT conversion (original vs. converted: 0.63 vs. 0.68 for DSC, 0.66 vs. 0.70 for pixel-wise recall, and 0.68 vs. 0.73 for pixel-wise precision; P < 0.002 for all). The DSCs of fibrosis score, honeycombing, and reticulation significantly increased after CT conversion (0.32 vs. 0.64, 0.19 vs. 0.47, and 0.23 vs. 0.54, P < 0.002 for all), whereas those of ground-glass opacity, consolidation, and emphysema did not change significantly or decreased slightly. The radiologists' scores were significantly higher (P < 0.001) and less variable on converted CT. Conclusion: CT conversion using a RouteGAN can improve the accuracy and variability of CT images obtained using different scan parameters and manufacturers in deep learning-based quantification of ILD.